Video Content Based Advertisement Recommendation - Sell Project
Listed April 29, 2024
About Video Content Based Advertisement Recommendation
All New And Scalable Advertise Recommandation System
Present day digital-age advertising is more complex than ever. Advertisers today have a chance to meet consumers at every stage of their online browsing process. However, it takes a deep level of insight into conversion behaviour and easy access to real-time digital decision-making tools to know when, how and to what extent it is indeed needed to communicate with a customer. Today's modern advertisers must rely on technology to decide the best way to boost their advertising return on investment (ROI) and meet their target clients. Recommendation systems have been implemented with the emergence of streaming sites like YouTube, Netflix and many other such web services. Recommendation systems are inevitable in our everyday online browsing, from e-commerce (to recommend a similar product) to online ads (based on a user interests)
Project details
Built with:NLP,Machine Learning,Classification Algorithm,Recommandation Algorithm
Next step: <p>buyers can integrate this project into real-time software like any video platform, or any other platform where user engage and user is advertised based on their behavior, our model quite has quite good accuracy that it can predict the best ad's for user which can increase your ad's revenue and also increase user retention rate</p>
For sale
Asking price: $450 USD
What's included
Source code, All related data, All related design work
Reason for selling
I am selling this project because I am busy with other things and no longer have time to maintain this project.
Project metrics
Average Monthly Revenue: Undisclosed
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